\begin{tabular}{l}
\text{\LARGE{Normal distribution}\\
\\\hline\\
\text{Normal distribution (also called Gaussian distribution) is a continuous}\\
\text{probability distribution which occurs very common in statistics. In natural}\\
\text{or social sciences it is often used to describe real-valued random variables}\\
\text{whose distributions are not known.}
}
\\\\\hline\\
\text{\Large{Input paramters}}\\
    \begin{array}{ll}\\
    \\\mu & \text{expected value}\\
    \\\sigma & \text{standard deviation}\\
    \end{array}
\\\\\hline\\
\text{\Large{Output parameters}}\\
    \begin{array}{ll}\\
    \\\text{Variance} & \mathbf{\sigma^2}\\
    \end{array}
\\\\\hline\\
\text{\Large{Additional information}}\\
    \begin{array}{ll}\\
    \\\text{Probability density function} & 
      \mathbf{\frac{1}{\sigma \sqrt{2\pi}}\exp\left(-\frac{\left(x-\mu\right)^2}{2\sigma^2}\right)}\\
    \\\text{Moment-generating function} & \mathbf{\exp\left(\mu t+\frac{\sigma^2 t^2}{2}\right)}\\
    \end{array}
\end{tabular}